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Optimizing Epochal Evolutionary Search: Population-Size Independent Theory

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  • Erik van Nimwegen
  • James P. Crutchfield

Abstract

Epochal dynamics, in which long periods of stasis in population fitness are punctuated by sudden innovations, is a common behavior in both natural and artificial evolutionary processes. We use a recent quantitative mathematical analysis of epochal evolution to estimate, as a function of population size and mutation rate, the average number of fitness function evalutations to reach the global optimum. This is then used to derive estimates of and bounds on evolutionary parameters that minimize search effort.

Suggested Citation

  • Erik van Nimwegen & James P. Crutchfield, 1998. "Optimizing Epochal Evolutionary Search: Population-Size Independent Theory," Working Papers 98-06-046, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:98-06-046
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    Cited by:

    1. James P. Crutchfield & Erik van Nimwegen, 1999. "The Evolutionary Unfolding of Complexity," Working Papers 99-02-015, Santa Fe Institute.

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